Robust adaptive fuzzy-neural controllers for uncertain nonlinear systems

dc.contributor國立臺灣師範大學電機工程學系zh_tw
dc.contributor.authorY.-G. Leuen_US
dc.contributor.authorW.-Y. Wangen_US
dc.contributor.authorT.-T. Leeen_US
dc.date.accessioned2014-10-30T09:28:16Z
dc.date.available2014-10-30T09:28:16Z
dc.date.issued1999-10-01zh_TW
dc.description.abstractA robust adaptive fuzzy-neural controller for a class of unknown nonlinear dynamic systems with external disturbances is proposed. The fuzzy-neural approximator is established to approximate an unknown nonlinear dynamic system in a linearized way. The fuzzy B-spline membership function (BMF) which possesses a fixed number of control points is developed for online tuning. The concept of tuning the adjustable vectors, which include membership functions and weighting factors, is described to derive the update laws of the robust adaptive fuzzy-neural controller. Furthermore, the effect of all the unmodeled dynamics, BMF modeling errors and external disturbances on the tracking error is attenuated by the error compensator which is also constructed by fuzzy-neural inference. We prove that the closed-loop system which is controlled by the robust adaptive fuzzy-neural controller is stable and the tracking error will converge to zero under mild assumptions. Several examples are simulated in order to confirm the effectiveness and applicability of the proposed methodsen_US
dc.description.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=795786zh_TW
dc.identifierntnulib_tp_E0604_01_046zh_TW
dc.identifier.issn1042-296X�zh_TW
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/31968
dc.languageenzh_TW
dc.publisherIEEE Robotics and Automation Societyen_US
dc.relationIEEE Transactions on Robotics And Automation, 15(5), 805-817.en_US
dc.subject.otherAdaptive controlen_US
dc.subject.otherfuzzy-neural networken_US
dc.subject.otheronline tuningen_US
dc.subject.otherrobust design.en_US
dc.titleRobust adaptive fuzzy-neural controllers for uncertain nonlinear systemsen_US

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